Push model using huggingface_hub.

README.md

@@ -1,3 +1,12 @@
----
-license: mit
----
+---
+license: mit
+pipeline_tag: zero-shot-classification
+tags:
+- model_hub_mixin
+- pytorch_model_hub_mixin
+---
+
+This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
+- Code: https://github.com/your-org/your-repo
+- Paper: [More Information Needed]
+- Docs: [More Information Needed]

config.json

@@ -0,0 +1,33 @@
+{
+  "alpha": 1,
+  "apply_gnn_encoders": "both",
+  "base_model_name": "hf-hub:microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224",
+  "batch_size": 64,
+  "context_length": 256,
+  "csv_path": "./mimic_cxr.csv",
+  "dropout_rate": 0.1,
+  "eval": true,
+  "feature_dim": 512,
+  "filename": "ACE-LoRA_weights",
+  "hidden_features": 128,
+  "label_csv_path": "mimic-cxr-chexpert_labeled_data.csv",
+  "learnable_logit_scale": true,
+  "loss_type": "clip_loss_ace_hgnn",
+  "lr": 0.001,
+  "num_devices": 3,
+  "num_epochs": 40,
+  "output_dim": 512,
+  "params": [
+    "q",
+    "k",
+    "v"
+  ],
+  "position": "all",
+  "r": 4,
+  "rank": 0,
+  "root_path": "",
+  "save_path": "./ACE-LoRA",
+  "seed": 1,
+  "topk": 5,
+  "use_labels": true
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34b5c8d95f766e9cc70f73e8af9047d437ecd8dd4db596890b7c973fe466e4e9
+size 3895656